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Students find it quite hard to meet their needs with many Tensorflow courses. Students also ask us if there is a specific Tensorflow course that fits every event. YES is the answer. You can take part in the popular courses below. Registering for the right course will make a major difference in your career growth. In this article, the four best Tensorflow courses & classes in 2023 were chosen by hand.
Our emphasis is on highlighting the best and most famous courses for their respective categories.
Depending on your submission, you can pick the one that best suits your needs.
However, let ‘s look at the best Tensorflow courses on the market.
Table of Contents
Duration: 4 weeks, 4 to 5 hours per week
Rating: 4.6 out of 5
If you are a software developer or have a previous coding background and are keen to expand on these skills, you should look forward to this qualification. These courses show you the techniques used by TensorFlow to apply the basic concepts of machine learning and deep learning and create scalable models to solve real-world problems. You will have the practical skills to come up with scalable solutions to these problems by the end of this program, as well as apply for relevant job profiles.
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Length: 3 months, 10 hours a week
Evaluation: 4.9 out of 5
If you want to start a career in AI, you will be helped by this degree. Across 5 courses you can explore the basic concepts of deep learning, know how to create neural networks, and lead productive ML projects. In addition, case studies from various real-world industries can also be carried out. The practical tasks enable you to practice the concepts in Python and Tensorflow. In addition, talks from top leaders in the field can provide you with inspiration and help you understand the scenarios in this area.
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Duration: 1 month
Rating: 4.7 out of 5
If you’re keen to learn tools that developers use to create scalable TensorFlow AI algorithms, this specialization program is an ideal choice for you. This curriculum contains four separate classes, each of which provides you with a good understanding of how TensorFlow functions and discusses key concepts. With this program, you will get a clear understanding of how neural networks are built up and formed, and improve their performance by training them to identify images in the real world. Completing the program will give you a completion certificate to share with your profile and resume to demonstrate your skills.
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Duration: 1 month
Rating: 4.5 out of 5
If you’d like to learn how to handle a wide range of distribution scenarios and find new ways to use data more efficiently when training your model, then this specialization program is your best option. It consists of four different courses that help you learn how your system models can be delivered to real people on different devices. You will begin by understanding how machine learning models can be trained and run on browsers and mobile applications and then learn advanced concepts. This curriculum contains many video tutorials, quizzes, graded assignments, and practical projects to develop your skills and knowledge.
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Duration: 2 months
Rating: 4.5 out of 5
This specialization program will help you learn sophisticated machine learning concepts using the Google Cloud platform. With this program, you’ll gain hands-on experience to optimize, deploy, and scale ML production models of different types in hands-on labs. It consists of five different courses focused on multiple machine learning concepts such as end-to-end machine learning with TensorFlow, Production Machine Learning Systems, Sequential Time Series Model, etc. In addition, the program includes video lectures, quizzes, graded assignments, and much more to help you better equipped with the concepts. After completing the course and submitting the final project, you’ll get your completion certificate.
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Duration: 3 months, 10hrs/week
Rating: 4.5 out of 5
If you’re in the machine learning area, you might be aware of TensorFlow and how important it is for the ML area. Well, with TensorFlow, this nano degree program will help you learn basic machine learning techniques. Through covering critical topics such as data manipulation to supervised algorithms, every TensorFlow and scikit-learn algorithm gets hands-on experience. The software is developed by Udacity’s professional teachers, with years of machine learning and TensorFlow experience. During the program, instructors will be in direct contact through live sessions to help you understand the complex topics. Also, after completing the program, you will receive a completion certificate.
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Duration: 1 month, 14 hours per week
Rating: 4.5 out of 5
This specialization in Google Cloud-based machine learning offers an opportunity to learn one of today’s world’s most sought-after skills. The software aims to give you a summary of Machine Learning ‘s value to lectures on developing ML models. It starts with introductory-level lessons covering what machine learning is capable of and why is so popular, followed by classes focusing on Tensorflow, an open-source machine learning framework. These tutorials aim to help you develop, train, deploy ML models, solve numerical problems and more. There are also numerous hands-on opportunities to enhance ML ‘s accuracy using the various features on Google Cloud Platform.
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Duration: 14 hours
Rating: 4.4 out of 5
Google’s Tensorflow is among the top artificial intelligence methodologies used to reach solutions. Specifically designed to help you use this framework to create artificial neural networks for deep learning. The lessons cover all topics in details that guide you to understand them thoroughly. There’s a perfect balance between theory and practice. Some of the key concepts covered include basic neural networks, dense networks, autoencoders, reinforcement learning.
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Duration: 5 weeks, 2 to 4 hours per week
Rating: 4.6 out of 5
If you’ve a clear understanding of the principles of machine learning, python and deep learning and want to use it to improve your skills then this is your software. The basic concepts, key functions, operations and execution pipeline will be addressed in this tutorial. Apply the backpropagation features to time the weights and biases while training neural networks. End the program by exploring the various kinds of deep architectures.
Duration: Self-paced
Rating: 4.5 out of 5
If you want to use Javascript to work on Tensorflow or build deep learning applications then you can take a look at these training series. You’ll be able to ‘know by doing’ using descriptive lectures and practical lessons focused on real-world scenarios. Develop applications, avoid common errors, automate and scale them, following teacher guidance.
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Duration: Self-paced
Rating: 4.6 out of 5
This e-learning platform helps bring you a set of qualifications and teaching that will help you improve your work skills with Tensorflow regardless of your current level of expertise. The programmes, namely beginner, intermediate, and advanced, are divided into three stages of difficulty. Build model classification, conduct sentiment analysis, debug and monitor programs among others. You’ll have the courage to take on tasks and more challenging courses by the end of your chosen class.
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Duration: 2 months
Rating: 4.6 out of 5
In this program created by Udacity and the Tensorflow Team, you will learn to build deep learning applications with TensorFlow. So if you are more of a hands-on learner then this is the course for you. Gain hands-on experience in building your own state of the art image classifier and more. Use the models in the real world on mobile devices, in the cloud, and browsers. End the classes by working on advanced techniques and algorithms with large datasets.
That’s the list of Tensorflow courses with high-quality content. They are popular and loved by many designers. Between these courses, you are sure to find what you need to learn to continue your path of Tensorflow.
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